首页> 外文会议>ICTIS 2011;International conference on transportation information and safety >Factors Analysis of Freeway Incident Duration and Cusp Catastrophe Modeling
【24h】

Factors Analysis of Freeway Incident Duration and Cusp Catastrophe Modeling

机译:高速公路事故持续时间的因素分析和尖点突变模型

获取原文

摘要

The influence factors of incident duration and their effects were analyzed by analysis of variance (ANOVA), totally 12 items of factors analysis. Then statistical methods were developed to allow quantitative regression of cusp catastrophe model (CCM) with incident duration data. The stepwise regression analysis was employed to find the best group of factors including alarm time, lanes occupied, casualties, rescue vehicles, incident style, time arrived on spot. As a normal factor AlarmTime, Lanes were used. As a bifurcation factor Casualties, Rescue Vehicles, IncidentStyle, TimeOnSpot were used. The fitting result of cusp catastrophe model indicates that three levels of duration were defined by stability, potential catastrophe and catastrophe areas and this model could predict the sudden changes of incident duration well. This CCM model could provide technical support for decision-making to dispose incidents.
机译:通过方差分析(ANOVA)分析了事件持续时间的影响因素及其影响,共进行了12项因素分析。然后开发了统计方法,以使事件持续时间数据可以对尖点突变模型(CCM)进行定量回归。采用逐步回归分析来找出最佳因素组,包括警报时间,占用车道,人员伤亡,救援车辆,事件类型,到达现场的时间。作为正常因素AlarmTime,使用了Lanes。作为伤亡事故的分叉因素,使用了“救援车辆”,“突发事件样式”,“时间点”。尖峰突变模型的拟合结果表明,稳定性,潜在突变和突变区域定义了三个持续时间,该模型可以很好地预测事件持续时间的突然变化。这种CCM模型可以为处理事件的决策提供技术支持。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号